NLP Engineer for Resume Parsing
Budget: ₹1,500 – ₹12,500 INR
We are seeking an experienced NLP Engineer to develop a robust resume parsing solution for our website. The ideal candidate will have a strong background in Natural Language Processing (NLP) and machine learning techniques to accurately extract and structure information from resumes.
Responsibilities:
Develop and implement NLP algorithms to parse and extract relevant data from resumes.
Ensure high accuracy in extracting information such as personal details, education, work experience, skills, and more.
Integrate the parsing solution with our website to provide seamless user experience.
Continuously improve the parsing accuracy through machine learning and feedback loops.
Collaborate with our development team to ensure smooth integration and functionality.
Requirements:
Proven experience in NLP and resume parsing projects.
Proficiency in Python and NLP libraries (e.g., SpaCy, NLTK, TensorFlow).
Experience with machine learning frameworks and techniques.
Strong problem-solving skills and attention to detail.
Ability to work independently and deliver within deadlines.
Preferred:
Experience with web integration and API development.
Familiarity with various resume formats and standards.
Responsibilities:
Develop and implement NLP algorithms to parse and extract relevant data from resumes.
Ensure high accuracy in extracting information such as personal details, education, work experience, skills, and more.
Integrate the parsing solution with our website to provide seamless user experience.
Continuously improve the parsing accuracy through machine learning and feedback loops.
Collaborate with our development team to ensure smooth integration and functionality.
Requirements:
Proven experience in NLP and resume parsing projects.
Proficiency in Python and NLP libraries (e.g., SpaCy, NLTK, TensorFlow).
Experience with machine learning frameworks and techniques.
Strong problem-solving skills and attention to detail.
Ability to work independently and deliver within deadlines.
Preferred:
Experience with web integration and API development.
Familiarity with various resume formats and standards.